# Creating arcAscii grid of raw data to view in Global Mapper
!mbgrid-I$datalistp-A2-G4-E$sr/0.0!-O$grd1-V
```
%% Cell type:markdown id: tags:
### Navigation Adjustment
**Steps using mbnavadjust**
Run mbnavadjust command to open the graphical interface, then follow:
- File > New > Name navadjust project. (make sure this alings with what you define for the variable "navadjustProjectName")
- File > Import data > Choose datalist (datalistp_0XXX.mb-1).
- View > True Crossings > Double click on one file of the list > opens NavErr window.
- Adjust contour lines manually > Add Tie > Next ... and repeat. Avoid 'Minimum Missfit' (what algorithm is behind this? => Cross Correlation). Dismiss, if you are done.
- View > >50% overlap > double click on one file of the list > opens NavErr window.
- Adjust contour lines manually > Add Tie > Next ... and repeat. Dismiss.
- Action > Invert.
- Action > Apply Adjusted Navigation.
- File > Quit.
%% Cell type:code id: tags:
``` python
print(navadjustProjectName)
```
%% Cell type:code id: tags:
``` python
%cd$rootpath
# First manual navadjusting: on true crossings and >50% overlap.
Unable to open data list file: datalistpp_0XXX.mb-1
Program terminated in function <mb_get_info_datalist>
%% Cell type:code id: tags:
``` python
%cd$rootpath
# set names for second navadjust plot
navadjustPlot2=navadjustProjectName+"2"
navadjustPlot2exec=navadjustPlot2+".cmd"
# Check navigation track
!mbm_plot-I$datalistpp-N-O$navadjustPlot2
!./$navadjustPlot2exec
```
%% Cell type:markdown id: tags:
**Result**
Number of set ties after analyzing >50% overlap crossings: *(enter number here)*
Number of set ties after analyzing >25% overlap crossings: *(enter number here)*
Enter narrative on obstacles and how they were overcome etc. here.
%% Cell type:markdown id: tags:
-----
## Shift renavigated data
*Operator: (enter name here)*
20yy-mm-dd
Horizontal shift of the data provides absolute spatial constrains, as it is applied relative to known, spatially referenced features, e.g. from ship-based bathymetry or seafloor video dives. With this, it facilitates the merging of multi-survey mapping campaigns.
**Determine the horizontal shift in a GIS project**
Shift grid (datalistpp) to match georeferenced data and enter distance and bearing below.
%% Cell type:code id: tags:
``` python
# enter bearing and distance of shift according to shift of ascii-grid in Global Mapper
dist=40# distance in m
bear=260# bearing in degree
importnumpyasnp
x_shift=np.sin(np.radians(bear))*dist
y_shift=np.cos(np.radians(bear))*dist
print (x_shift)
print (y_shift)
```
%% Cell type:code id: tags:
``` python
%cd$rootpath
# set offset in parameter file of navadjusted data